The <i>α</i>-Groups under Condorcet Clustering by Tarik Faouzi, Luis Firinguetti-Limone, José Miguel Avilez-Bozo, Rubén Carvajal-Schiaffino

“…In the second part, we propose a heuristic algorithm to carry out the task. In the third part, we compare <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>α</mi></semantics></math></inline-formula>-Condorcet clustering with <i>k</i>-modes clustering. …”
Get full text

Memory Optimization for Bit-Vector-Based Packet Classification on FPGA by Chenglong Li, Tao Li, Junnan Li, Dagang Li, Hui Yang, Baosheng Wang

“…WeeBV consists of a heterogeneous two-dimensional lookup pipeline and an optimized heuristic algorithm for searching all the wildcard positions that can be removed. …”
Get full text

Multi-agent programming to enhance resiliency of earthquake-prone old metropolitan areas by transit-oriented development under public-private partnership by Hojjatollah Soleimani, Hossain Poorzahedy

“…We formulate the problem and solve it by a novel meta-heuristic algorithm. After analyzing the set of solutions to a test problem, we apply the algorithm on this rather large, real case urban area, and discuss the results. …”
Get full text

Towards Application-Driven Task Offloading in Edge Computing Based on Deep Reinforcement Learning by Ming Sun, Tie Bao, Dan Xie, Hengyi Lv, Guoliang Si

“…Specifically, we analyze the characteristics of application-driven tasks and propose a heuristic algorithm by introducing a new factor to determine the processing order of parallelism sub-tasks. …”
Get full text

Research on Resource Allocation Method of Integrated Avionics System considering Fault Propagation Risk by Changxiao Zhao, Wei Zhang, Fangzheng Dong, Jun Dai, Lei Dong

“…The resource allocation method is evaluated according to the fault propagation risk model, and a heuristic algorithm is applied to optimize the resource allocation method of the IMA system. …”
Get full text

Exploiting channel and interface heterogeneity for rate separating channel assignment in IEEE 802.11 wireless multimedia sensor networks by Tae-Sung Kim, Sok-Hyong Kim, Young-Yong Kim

“…With the metric and heuristic algorithm, HMesh separates different data rate links by considering the channel and interface heterogeneity. …”
Get full text

Optimal Location of Fast Charging Stations for Mixed Traffic of Electric Vehicles and Gasoline Vehicles Subject to Elastic Demands by Hong Gao, Kai Liu, Xinchao Peng, Cheng Li

“…A mixed-integer nonlinear program is constructed, and the equivalence of SUE-ED is proven, where a heuristic algorithm is used to solve the model. Finally, the network trial and sensitivity analysis are carried out to illustrate the feasibility and effectiveness of the proposed model.…”
Get full text

Data-Driven MPC for a Fog-Cloud Platform With AI-Inferencing in Mobile-Robotics by Dinsha Vinod, Durgesh Singh, P. S. Saikrishna

“…The approach comprises developing a data-driven linear parameter varying (LPV) framework for modeling and design of a model predictive controller (MPC) for the fog and the cloud platforms independently. A heuristic algorithm performs the distribution of the mobile robot vision data (MRVD) between the fog and the cloud platforms. …”
Get full text

Two-stage Stochastic Programing Based on the Accelerated Benders Decomposition for Designing Power Network Design under Uncertainty by Aliakbar Hasani

“…The proposed accelerated Benders decomposition algorithm uses an efficient acceleration mechanism based on the priority method which uses a heuristic algorithm to efficiently cope with computational complexities. …”
Get full text

Application of grey wolf optimisation algorithm in parameter calculation of overhead transmission line system by Muhammad Suhail Shaikh, Changchun Hua, Munsif Ali Jatoi, Muhammad Mohsin Ansari, Aleem Ahmed Qader

“…GWO is a recently developed nature‐inspired meta‐heuristic algorithm. Single‐phase and three‐phase transmission line test systems have been adopted for testing purposes. …”
Get full text

Multi-AGV Dynamic Scheduling in an Automated Container Terminal: A Deep Reinforcement Learning Approach by Xiyan Zheng, Chengji Liang, Yu Wang, Jian Shi, Gino Lim

“…The simulation studies show that, compared with conventional scheduling methods using a heuristic algorithm, i.e., genetic algorithm (GA) and rule-based scheduling, terminal the proposed approach performs better in terms of effectiveness and efficiency.…”
Get full text

Optimization Model of Parking Space Allocation for Departing Flights under Resource Constraints by ZHAO Zheng, HU Li, JIA Aiping, JIN Hui, QIAN Yuanyuan

“…As an important resource of the airport,the optimization of parking space allocation strategy to achieve better flight operation efficiency and improve the passenger′satisfaction has become the top priority of research.In order to study the problem of parking space allocation under resource-constrained conditions such as tractors and controllers,aiming at the minimum aircraft delay time and the maximum number of bridges,and transforming the maximum number of bridges into the minimum number of non-bridges,an optimization model of parking space allocation is established,and the heuristic algorithm is used to solve it.The example of parking space allocation model is verified through entrying and departure information of Beijing Daxing International Airport.The results show that,compared with the actual operation of the airport,the parking space allocation optimization model established in this paper can reduce the aircraft delay time by 25.5%and increased bridge rate by 8.8%.The optimization of surface delay and bridge approach rate under the condition of limited resources is realized.…”
Get full text

Deep‐learning–based method for faults classification of PV system by Sayed A. Zaki, Honglu Zhu, Mohammed Al Fakih, Ahmed Rabee Sayed, Jianxi Yao

“…First, an efficient meta‐heuristic algorithm is proposed for extracting the optimal five parameters of the PV model in order to assist the MATLAB simulation model. …”
Get full text

Synergistic effects of halloysite nanotubes with metal and phosphorus additives on the optimal design of eco-friendly sandwich panels with maximum flame resistance and minimum weig... by Kamarian Saeed, Yu Ruiwen, Song Jung-il

“…Imperialist competitive algorithm (ICA), as a powerful meta-heuristic algorithm, is implemented to considerably reduce the computational cost of the optimization process. …”
Get full text

Desining of push backs in Chadormalu Iron Mine considering the Grade Uncertinty by hadi mokhtari, moein bahadori, javad gholamnezhad

“…In this paper, to investigating the impact of grades uncertainty on the push-backs designing of Chadormalu Iron Mine, the Gholamnejad Heuristic algorithm (2005) is described at first, then considering the difference between the mean grades in the each block to the mining cut-off grade, the algorithm is corrected and a new economic relation, proposed. …”
Get full text

O problema de roteamento de veículos com coleta e entrega simultânea: uma abordagem via Iterated Local Search e GENIUS by Marcio Tadayuki Mine, Matheus de Souza Alves Silva, Luiz Satoru Ochi, Marcone Jamilson Freitas Souza, Thaís Cotta Barbosa da Silva

“…&lt;/p&gt;&lt;strong&gt;Abstract: &lt;/strong&gt;This work presents GENILS for solving the Vehicle Routing Problem with Simultaneous Pickup and Delivery (VRPSPD). GENILS is a heuristic algorithm based on Iterated Local Search, Variable Neighborhood Descent and adaptations of the Cheapest Insertion and GENIUS heuristics. …”
Get full text

Neural Network Algorithm with Dropout Using Elite Selection by Yong Wang, Kunzhao Wang, Gaige Wang

“…A neural network algorithm is a meta-heuristic algorithm inspired by an artificial neural network, which has a strong global search ability and can be used to solve global optimization problems. …”
Get full text

Estimation of Distribution Algorithm for Resource Allocation in Green Cooperative Cognitive Radio Sensor Networks by Alagan Anpalagan, Daniel C. Lee, Udit Pareek, Muhammad Naeem

“…We introduce a hybrid heuristic algorithm for this problem. The hybrid heuristic includes an estimation-of-distribution algorithm (EDA) for performing power allocation and iterative greedy schemes for constraint satisfaction and relay assignment. …”
Get full text

Drone-Based Emergent Distribution of Packages to an Island from a Land Base by Zhi-Hua Hu, Tao Li, Xi-Dan Tian, Yue-He Wei

“…The cyclic bi-stage distribution mode can improve drone flying distance by 50%, and an iterative heuristic algorithm can further improve drone flying distance by 27.8%, and the ground costs by 3.16%, average for the settings of twenty to sixty customers and two to four drone landing platforms. …”
Get full text

A Hybrid Adaptive Simulated Annealing and Tempering Algorithm for Solving the Half-Open Multi-Depot Vehicle Routing Problem by Shichang Xiao, Pan Peng, Peng Zheng, Zigao Wu

“…This study aims to develop an effective meta-heuristic algorithm for solving the HOMDVRP. Firstly, a mixed-integer programming model of HOMDVRP is established to minimize the total travel distance of the vehicles. …”
Get full text